When our students succeed we succeed.
We continuously work to expand our hiring network, employment rates, and accountability. Our mission is to help you become the best data professional that you can be.
Employment rate by programs
Course
Median monthly income
Employment rate
Data Science
19,000
ILS
86%
Data Analytics
13,000
ILS
72%
Data Engineering
17,000
ILS
in beta
Career acceleration
Develop your career skills with our career acceleration workshops led by our mentors and your career-success manager.
Meet your career team
Your career mentor is extensively trained and specialises in research into industry recruiting and hiring. They will provide advice and assistance along the way.
Craft your CV and optimise online profiles
You will be taught how to use the best strategies to write an excellent CV, and how to optimise your online profiles to meet the requirements of the market.
Work opportunity sourcing
Based on strategies regularly tested by our graduates, your Career Team will assist you in recruiting and networking effectively.
Interviewing essentials
We’ll teach you how to master your body language, perfect your presentation skills, and prepare answers to frequently as well as rarely asked questions.
Master the art of Interviewing
Learn how technical interviews are structured and practice interviewing methods in a real-work environment.
Storytelling using data
We’ll teach you how to identify the fundamental business questions and communicate your findings by presenting the impact of your analysis on the company’s trajectory.
Comprehensive interview workshop
Experience in-depth mock interview sessions and apply your mentor’s feedback to enhance your competitive advantage during real interviews.
Data-led business case studies
Learn from the world’s leading companies by solving real-work environment challenges, and analyse case studies in data-driven businesses.
Job offers and salary negotiation
Your career-success manager will help you with the process of negotiating better salary, compensation and benefits.
Our students in numbers:
Field of academic education background
45.2% Social Science
31% STEM
14.3% No academic education
9.5%
Humanities
Prior level of programming skills
14.3%
Senior
46.4% Entry
39.3% Mid-level
Gender
47% women
53% men
Age
45+
40-44
25-29
35-39
30-34
>24
What our graduates say:
Amit Alon
Data Scientist
I was looking for the best place to learn more techniques and widen my knowledge, especially in deep learning. I chose this course as it can mediate the gap between academia and industry. This was exactly what I was looking for. I don’t have professional experience and the course gave me great background so I can bring a lot to the table in addition to my research background.
KHealth
Tsahhi Sharon
Senior Business analyst
The program was very interesting and intensive. I already have business experience and understanding from my previous role, and this course gave me all of the technical aspects I was looking for. There are so many diverse projects included, it was an invaluable experience to get a taste of many of the tasks that I do in my current day to day work.
Andrey Nikitin
Data Scientist
The course is great, I think it’s the best professional course I have taken and for me personally it’s a good substitution to a masters degree (for now). Even though I’m already working as a Data Scientist I still learn new things, there are always fields that I’m less proficient in and the course fills that gap.
Some of the companies where our graduates work:
